[HTML][HTML] Classification of intrauterine growth restriction at 34–38 weeks gestation with machine learning models
IC Crockart, LT Brink, C Du Plessis… - Informatics in medicine …, 2021 - Elsevier
Structured Abstract Objective Intrauterine growth restriction (IUGR) is one of the most
common causes of stillbirths. The objective of this study is to develop a machine learning …
common causes of stillbirths. The objective of this study is to develop a machine learning …
Utilidad de la electrohisterografía como técnica de monitorización uterina en el ámbito clínico: revisión bibliográfica
J Escalante-Gaytán… - … y obstetricia de …, 2019 - medigraphic.com
Antecedentes: El análisis del registro de superficie de la actividad mioeléctrica uterina, o
electrohisterograma, es uno de los marcadores biofísicos más prometedores para evaluar …
electrohisterograma, es uno de los marcadores biofísicos más prometedores para evaluar …
[HTML][HTML] Accelerations of the fetal heart rate in the screening for fetal growth restriction at 34-38 week's gestation
HJ Odendaal, IC Crockart, C Du Plessis… - Global journal of …, 2021 - ncbi.nlm.nih.gov
Objectives: To use machine learning to determine what information on Doppler velocimetry
and maternal and fetal heart rates, collected at 20-24 weeks gestation, correlates best with …
and maternal and fetal heart rates, collected at 20-24 weeks gestation, correlates best with …
Usefulness of the electrohysterography in the clinical field as a technique for uterine monitoring: A literature review
J Escalante-Gaytán… - … y Obstetricia de …, 2019 - medigraphic.com
Background: The analysis of the surface myoelectric activity of the uterus electrohysterogram
(EHG) has proved to be one of the most promising biophysical markers for the evaluation of …
(EHG) has proved to be one of the most promising biophysical markers for the evaluation of …
[PDF][PDF] Informatics in Medicine Unlocked
IC Crockart, LT Brink, C du Plessis, HJ Odendaal - researchgate.net
Objective: Intrauterine growth restriction (IUGR) is one of the most common causes of
stillbirths. The objective of this study is to develop a machine learning model that will be able …
stillbirths. The objective of this study is to develop a machine learning model that will be able …